Lava Kafle的动态

Kaggle Hi Lava Kafle, We had an amazing month, with some really incredible models launching on the Kaggle Models hub. A highlight was the opportunity to talk with the data scientists behind Cohere For AI’s Aya Expanse. You can watch the conversation on YouTube if you missed it! Aya Expanse Publisher: Cohere for AI A breakthrough for multilingual LLMs, Aya Expanse serves 23 languages. This highly performant open-weight model is available in 8B and 32B parameter sizes. Segment Anything 2.1 Publisher: Meta SAM 2.1 offers improved video and image segmentation with higher accuracy, fewer interactions, and faster processing. InternLM 2.5 Publisher: Intern AI With a 20% enhancement in reasoning over its predecessor, InternLM2.5 achieves near-perfect accuracy in a 1M context window. It excels in long context tasks. Molmo Publisher: Allen AI A fully open-source multimodal model, Molmo enables rich, interactive applications and excels in vision-language tasks, with Molmo-72B ranking near GPT-4 in human evaluations. DeepSeek Prover Publisher: DeepSeek DeepSeek Prover is an improved open-source language model for theorem proving in Lean 4. It offers optimized training and inference processes with state-of-the-art results across multiple benchmarks. We’ve been growing our model offerings - come see what we have to help you build new and exciting solutions! Brenda Flynn Model Partnerships Lead Kaggle, Inc 1600 Amphitheatre Pkwy Mountain View, CA 94043 This email was sent to [email protected] because you indicated that you'd like to receive news and updates about Kaggle. If you don't want to receive these emails in the future, please unsubscribe here. You can also change your preferences on your account's profile page by logging in at kaggle.com

Kaggle Hi Lava Kafle, Welcome Mistral Small 3 to Kaggle! Mistral Small 3 is a latency-optimized 24B-parameter model, designed to deliver strong performance with high efficiency. Licensed under Apache 2.0, it provides a flexible and scalable solution for a wide range of AI applications. It achieves over 81% accuracy on MMLU and delivers low-latency inference at 150 tokens per second, making it well-suited for real-time AI tasks. Access Mistral Small 3 This model is built for conversational AI, function calling, and fine-tuning for specialized tasks. It enables fast-response virtual assistants, agentic workflows, and local deployment on consumer hardware. With both pretrained and instruction-tuned checkpoints, Mistral Small 3 is a strong foundation for AI development. We’re excited to see what you build with it! Brenda Flynn Kaggle Partnerships Lead Kaggle, Inc 1600 Amphitheatre Pkwy Mountain View, CA 94043 This email was sent to [email protected] because you indicated that you'd like to receive news and updates about Kaggle. If you don't want to receive these emails in the future, please unsubscribe here. You can also change your preferences on your account's profile page by logging in at kaggle.com.

Kaggle Hi Lava Kafle, Welcome Mistral Small 3 to Kaggle! Mistral Small 3 is a latency-optimized 24B-parameter model, designed to deliver strong performance with high efficiency. Licensed under Apache 2.0, it provides a flexible and scalable solution for a wide range of AI applications. It achieves over 81% accuracy on MMLU and delivers low-latency inference at 150 tokens per second, making it well-suited for real-time AI tasks. Access Mistral Small 3 This model is built for conversational AI, function calling, and fine-tuning for specialized tasks. It enables fast-response virtual assistants, agentic workflows, and local deployment on consumer hardware. With both pretrained and instruction-tuned checkpoints, Mistral Small 3 is a strong foundation for AI development. We’re excited to see what you build with it! Brenda Flynn Kaggle Partnerships Lead Kaggle, Inc 1600 Amphitheatre Pkwy Mountain View, CA 94043 This email was sent to [email protected] because you indicated that you'd like to receive news and updates about Kaggle. If you don't want to receive these emails in the future, please unsubscribe here. You can also change your preferences on your account's profile page by logging in at kaggle.com.

Kaggle kaggle.com Kaggle Hi Lava Kafle, You can now find models shared by the Kaggle community! Even better, you can create and share your own models. Check out our full announcement covering how to create your own public model, discover competition models, and what's next. Learn More Earlier this year, we announced that anyone can create models on Kaggle. Early publishers provided feedback, the Kaggle team made improvements, and now we’re ready to welcome your public models! The Kaggle community makes it possible, with public sharing and stress-testing of techniques, code, and resources like models against real-world ML tasks. Now, more than ever, it’s important to make it easier for our community to publicly share and evaluate models, especially LLMs and other generative AI models. If you have any questions or feedback, please let us know in the comments . Meg Risdal, Kaggle Models Kaggle, Inc 1600 Amphitheatre Pkwy Mountain View, CA 94043 This email was sent to [email protected] because you indicated that you'd like to receive news and updates about Kaggle. If you don't want to receive these emails in the future, please unsubscribe here. You can also change your preferences on your account's profile page by logging in at kaggle.com.

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Kaggle kaggle.com Kaggle Hi Lava Kafle, You can now find models shared by the Kaggle community! Even better, you can create and share your own models. Check out our full announcement covering how to create your own public model, discover competition models, and what's next. Learn More Earlier this year, we announced that anyone can create models on Kaggle. Early publishers provided feedback, the Kaggle team made improvements, and now we’re ready to welcome your public models! The Kaggle community makes it possible, with public sharing and stress-testing of techniques, code, and resources like models against real-world ML tasks. Now, more than ever, it’s important to make it easier for our community to publicly share and evaluate models, especially LLMs and other generative AI models. If you have any questions or feedback, please let us know in the comments . Meg Risdal, Kaggle Models Kaggle, Inc 1600 Amphitheatre Pkwy Mountain View, CA 94043 This email was sent to [email protected] because you indicated that you'd like to receive news and updates about Kaggle. If you don't want to receive these emails in the future, please unsubscribe here. You can also change your preferences on your account's profile page by logging in at kaggle.com.

Kaggle Kaggle Hi Lava Kafle, Multiple choice exams are meant to capture both understanding and learning gaps, or misconceptions. Tagging the right misconception to a distractor (incorrect answer) is time-consuming and often inconsistent, especially across annotators. In this competition, you’ll develop an NLP model driven by ML that accurately predicts the relationship between misconceptions and distractors and generalize to new misconceptions. Total Prizes: $55,000 Entry Deadline: December 5, 2024 Learn More Your work could improve how misconceptions are understood and managed, enhancing the learning experience for both students and teachers. Good luck, Walter Reade Kaggle Data Scientist Kaggle, Inc 1600 Amphitheatre Pkwy Mountain View, CA 94043 This email was sent to [email protected] because you indicated that you'd like to receive news and updates about Kaggle. If you don't want to receive these emails in the future, please unsubscribe here. You can also change your preferences on your account's profile page by logging in at kaggle.com. https://lnkd.in/d__npQCp?

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Kaggle Hi Lava Kafle, The ability to reason mathematically is a critical milestone for AI. Current capabilities are limited, but this competition is aiming to change that. The AI Mathematical Olympiad (AIMO) Prize is a new $10mn prize fund to spur the open development of AI models capable of performing as well as top human participants in the International Mathematical Olympiad (IMO). The open benchmarks in this series of challenges aim to foster healthy competition and innovation. In this first competition, you will create algorithms and models to solve difficult math problems written in LaTeX format, aiming to exceed current benchmarks for open models. Total Prizes: $1,048,576 Entry Deadline: June 27, 2024 Learn More Your participation will help to advance AI models’ mathematical reasoning skills. Good luck, Ryan Holbrook Kaggle Data Scientist Kaggle, Inc 1600 Amphitheatre Pkwy Mountain View, CA 94043 This email was sent to [email protected] because you indicated that you'd like to receive news and updates about Kaggle. If you don't want to receive these emails in the future, please unsubscribe here. You can also change your preferences on your account's profile page by logging in at kaggle.com

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